code: def update_deployment(
      self,
      name,
      model_uri=None,
      flavor=None,
      config=None,
      endpoint=None,
  ):
      return {"flavor": flavor}
  
file_path: mlflow/tests/resources/mlflow-test-plugin/mlflow_test_plugin/fake_deployment_plugin.py
imports: import os
  from mlflow.deployments import BaseDeploymentClient, PredictionsResponse
label_desc: Use image node_id 3 for calling the PluginDeploymentClient obj's underlying member method code with example usage: obj.update_deployment(name, model_uri, flavor, config, endpoint) and returns: dict